ASBIS Middle East announced the launch of AMD EPYC demo server, offering customers in the MENA region the opportunity to test and evaluate its performance.
The unique AMD EPYC demo server features an AMD EPYC system with a powerful AMD Genoa 9454P 48-core CPU. The server is built with three Supermicro single socket nodes, providing flexibility and cost-effectiveness. Each node comes with 512 GB of DDR5 memory, ensuring sufficient capacity for demanding applications and multitasking. Additionally, the server is equipped with 6 TB of NVMe storage per node, delivering high-throughput storage solutions for fast data access and processing.
What’s more, the server stack seamlessly integrates InfiniGuard, harnessing state-of-the-art data protection and recovery features to uphold the sanctity and accessibility of data. InfiniGuard enriches backup and disaster recovery procedures, providing a shield for crucial data assets against loss or corruption. With its substantial storage capacity and processing power, this server stack serves as an optimal platform for big data analytics and real-time data processing, addressing the growing demand for immediate insights and decision-making.
Furthermore, the energy-efficient design of the AMD-powered server stack positions it as a leader in sustainable IT infrastructure, making it an attractive choice for organizations looking to reduce their carbon footprint and embrace green IT initiatives.
The meticulously curated combination of these components makes the AMD server stack ideal for various use cases, including:
- Enterprise IT: Offering robust computing power, storage capacity, and scalability to support mission-critical applications, databases, and virtualized workloads, ensuring reliable performance for enterprise IT infrastructure whether deployed on-premises or in the cloud.
- Scale-Out NAS: Well-suited for scale-out NAS deployments, the server stack’s high-density storage capabilities and scalable architecture enable efficient storage, management, and access of large volumes of unstructured data, providing ease and reliability for organizations dealing with media files, documents, and archives.
- AI-Accelerated Workloads: Optimized for AI-accelerated workloads, including machine learning, deep learning, and data analytics, the server stack leverages the computational power of AMD Genoa 9454P CPUs and NVMe storage to accelerate model training, inference, and data processing tasks, driving innovation and insights with AI technologies.
